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Python
NodeJS (Node.js)
React.js
NextJs (Next.js)Job Title:Full Stack Developer
Location: Bangalore, India
About Us:
Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.
Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.
Role Overview:
As a Full Stack Developer, you will be at the foundation of building this intelligent learning ecosystem by connecting the front-end experience, backend architecture, and AI-driven components that bring the platform to life. You’ll own key systems that power the AI Tutor, Simulation Lab, and learning content delivery, ensuring everything runs smoothly, securely, and at scale. This role is ideal for engineers who love building end-to-end products that blend technology, user experience, and real-time intelligence.
Your Core Impact
- You will build the spine of the platform, ensuring seamless communication between AI models, user interfaces, and data systems.
- You’ll translate learning and AI requirements into tangible, performant product features.
- Your work will directly shape how thousands of students experience physics through our AI Tutor and simulation environment.
Key Responsibilities:
Platform Architecture & Backend Development
- Design and implement robust, scalable APIs that power user authentication, course delivery, and AI Tutor integration.
- Build the data pipelines connecting LLM responses, simulation outputs, and learner analytics.
- Create and maintain backend systems that ensure real-time interaction between the AI layer and the front-end interface.
- Ensure security, uptime, and performance across all services.
Front-End Development & User Experience
- Develop responsive, intuitive UIs (React, Next.js or similar) for learning dashboards, course modules, and simulation interfaces.
- Collaborate with product designers to implement layouts for AI chat, video lessons, and real-time lab interactions.
- Ensure smooth cross-device functionality for students accessing the platform on mobile or desktop.
AI Integration & Support
- Work closely with the AI/ML team to integrate the AI Tutor and Simulation Lab outputs within the platform experience.
- Build APIs that pass context, queries, and results between learners, models, and the backend in real time.
- Optimize for low latency and high reliability, ensuring students experience immediate and natural interactions with the AI Tutor.
Data, Analytics & Reporting
- Build dashboards and data views for educators and product teams to derive insights from learner behavior.
- Implement secure data storage and export pipelines for progress analytics.
Collaboration & Engineering Culture
- Work closely with AI Engineers, Prompt Engineers, and Product Leads to align backend logic with learning outcomes.
- Participate in code reviews, architectural discussions, and system design decisions.
- Help define engineering best practices that balance innovation, maintainability, and performance.
Required Qualifications & Skills
- 3–5 years of professional experience as a Full Stack Developer or Software Engineer.
- Strong proficiency in Python or Node.js for backend services.
- Hands-on experience with React / Next.js or equivalent modern front-end frameworks.
- Familiarity with databases (SQL/NoSQL), REST APIs, and microservices.
- Experience with real-time data systems (WebSockets or event-driven architectures).
- Exposure to AI/ML integrations or data-intensive backends.
- Knowledge of AWS/GCP/Azure and containerized deployment (Docker, Kubernetes).
- Strong problem-solving mindset and attention to detail.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
FlaskJob Title: AI Engineer
Location: Bangalore, India
About Us:
Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.
Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.
Role Overview:
As an AI Engineer on the Capacity team, you will design, build, and deploy the intelligent systems that power our AI Tutor and Simulation Lab.
You’ll collaborate closely with prompt engineers, product managers, and full-stack developers to build scalable AI features that connect language, reasoning, and real-world learning. This is not a traditional ML ops role, it’s an opportunity to engineer how intelligence flows across the product: from tutoring interactions to real-time physics reasoning.
Your Core Impact
- Build the AI backbone that drives real-time tutoring, contextual reasoning, and simulation feedback.
- Translate learning logic and educational goals into deployable, scalable AI systems.
- Enable the AI Tutor to think, reason, and respond based on structured academic material and live learner inputs.
Key Responsibilities:
1. AI System Architecture & Development
- Design and develop scalable AI systems that enable chat-based tutoring, concept explainability, and interactive problem solving.
- Implement and maintain model-serving APIs, vector databases, and context pipelines to connect content, learners, and the tutor interface.
- Contribute to the design of the AI reasoning layer that interprets simulation outputs and translates them into learner-friendly explanations.
2. Simulation Lab Intelligence
- Work with the ML team to integrate LLMs with the Simulation Lab; enabling the system to read experiment variables, predict outcomes, and explain results dynamically.
- Create evaluation loops that compare student actions against expected results and generate personalized feedback through the tutor.
- Support the underlying ML logic for physics-based prediction and real-time data flow between lab modules and the tutor layer.
3. Model Integration & Optimization
- Fine-tune, evaluate, and deploy LLMs or smaller domain models that serve specific platform functions.
- Design retrieval and grounding workflows so that all model outputs reference the correct textbook or course material.
- Optimize performance, latency, and scalability for high-traffic, interactive learning environments.
4. Collaboration & Research
- Partner with Prompt Engineers to ensure reasoning consistency across tutoring and simulations.
- Work with Product and Education teams to define use cases that align AI behavior with learning goals.
- Stay updated with new model capabilities and research advancements in RAG, tool use, and multi-modal learning systems.
5. Data & Infrastructure
- Maintain robust data pipelines for model inputs (textbooks, transcripts, lab data) and evaluation sets.
- Ensure privacy-safe data handling and continuous model performance tracking.
- Deploy and monitor AI workloads using cloud platforms (AWS, GCP, or Azure).etc.
Soft Skills:
- Strong problem-solving and analytical abilities.
- Eagerness to learn, innovate and deliver impactful results.
Required Qualifications & Skills
- 3–4 years of experience in AI engineering, ML integration, or backend systems for AI-driven products.
- Strong proficiency in Python, with experience in frameworks like FastAPI, Flask, or LangChain.
- Familiarity with LLMs, embeddings, RAG systems, and vector databases (Pinecone, FAISS, Chroma, etc.).
- Experience building APIs and integrating with frontend components.
- Working knowledge of cloud platforms (AWS, GCP, Azure) and model deployment environments.
- Understanding of data structures, algorithms, and OOP principles.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)PythonJob Overview:
As a Technical Lead, you will be responsible for leading the design, development, and deployment of AI-powered Edtech solutions. You will mentor a team of engineers, collaborate with data scientists, and work closely with product managers to build scalable and efficient AI systems. The ideal candidate should have 8-10 years of experience in software development, machine learning, AI use case development and product creation along with strong expertise in cloud-based architectures.
Key Responsibilities:
AI Tutor & Simulation Intelligence
- Architect the AI intelligence layer that drives contextual tutoring, retrieval-based reasoning, and fact-grounded explanations.
- Build RAG (retrieval-augmented generation) pipelines and integrate verified academic datasets from textbooks and internal course notes.
- Connect the AI Tutor with the Simulation Lab, enabling dynamic feedback — the system should read experiment results, interpret them, and explain why outcomes occur.
- Ensure AI responses remain transparent, syllabus-aligned, and pedagogically accurate.
Platform & System Architecture
- Lead the development of a modular, full-stack platform unifying courses, explainers, AI chat, and simulation windows in a single environment.
- Design microservice architectures with API bridges across content systems, AI inference, user data, and analytics.
- Drive performance, scalability, and platform stability — every millisecond and every click should feel seamless.
Reliability, Security & Analytics
- Establish system observability and monitoring pipelines (usage, engagement, AI accuracy).
- Build frameworks for ethical AI, ensuring transparency, privacy, and student safety.
- Set up real-time learning analytics to measure comprehension and identify concept gaps.
Leadership & Collaboration
- Mentor and elevate engineers across backend, ML, and front-end teams.
- Collaborate with the academic and product teams to translate physics pedagogy into engineering precision.
- Evaluate and integrate emerging tools — multi-modal AI, agent frameworks, explainable AI — into the product roadmap.
Qualifications & Skills:
- 8–10 years of experience in software engineering, ML systems, or scalable AI product builds.
- Proven success leading cross-functional AI/ML and full-stack teams through 0→1 and scale-up phases.
- Expertise in cloud architecture (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- Experience designing microservices and API ecosystems for high-concurrency platforms.
- Strong knowledge of LLM fine-tuning, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
- Demonstrated ability to work with educational data, content pipelines, and real-time systems.
Bonus Skills (Nice to Have):
- Experience with multi-modal AI models (text, image, audio, video).
- Knowledge of AI safety, ethical AI, and explain ability techniques.
- Prior work in AI-powered automation tools or AI-driven SaaS products.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Go Programming (Golang)Responsibilities:
- Build scalable and optimized backend APIs / RPCs using Go.
- Experience in developing and maintaining live services (troubleshooting, monitoring).
- Work with designers and developers to structure the APIs and database.
- Implement Admin tools for live ops, events, and economy tweaking.
- Ensure that the backend is secure against hacks like tampering with API calls/data.
- Help evaluate and improve backend architecture for the company.
Requirements:
- Experience in working with relational databases. PostgreSQL is a plus.
- Experience Window: 5 to 10 years on Go (Good to have).
- Solid understanding of any of the existing cloud platforms like AWS/Azure/GCP.
- Experience with docker and containerization.
- Expert knowledge in any backend tech like Go, Kotlin, JAVA, . NET Core, NodeJS, Python, Angular, etc.
- Strong familiarity with system design, algorithms, and data structures.
- Experience in writing APIs and cloud database.
- Experience in CI/CD environments.
- Bonus: Experience with real-time multiplayer backend/networking/ games is plus.
- Bonus: Experience with any BAAS platform (Nakama/Playfab/Gamesparks).
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
React Native
Javascript
Redux/FluxWhat You Will Do:
- Your primary focus will be to implement responsive & high-quality UI and reusable code for CoinSwitch platform, with a particular focus on performance.
- You will help translate requirements and mockups into fully functioning features using frontend technologies.
- You will ensure the technical feasibility of UI/UX designs while maintaining high quality standards.
- You will collaborate timely with designers, product managers and own the front-end layer.
- You will constantly look for optimizing applications to handle high scale.
- You will keep yourself updated with the latest web technologies coming up in the market and suggest ways to implement it in our system.
What You Should Have:
- You should have 5+ years of extensive experience in Javascript.
- You should have 3+ years of experience in ReactNative based Android and IOS apps.
- You have experience writing clean, modular, object- oriented and optimized scripts.
- You are aware of Javascript design patterns and can architect a fairly complex UI.
- You have experience building a product using a mainstream library or framework (ReactNative ecosystem preferred).
- You keep pace with the ever-changing specs of cutting edge front-end technologies.
Good to Have:
- Prior experience working with fin-tech companies
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
Django- You will design and develop large scale distributed services.
- You will analyze and improve the efficiency, scalability, stability, and security of the platform as a whole.
- You will act as the primary owner of one or more components while driving innovation in your area of ownership.
- You will proactively research & evaluate new tools, technologies, and techniques to improve the value of the system.
- You will work with engineering leadership in solving and architecting solutions for challenging or complex development issues.
- You will work independently and handle dependencies with very minimal oversight.
- You will take initiatives in developing and maintaining integrations of best practices within the back-end.
- You will help identify systemic issues, performance bottlenecks and work on design/architect improvements.
- You have 2+ years of experience in product software development.
- You have designed and scaled up the system.
- You have a strong understanding of Data Structures and Algorithms.
- You are an incessant problem solver and tougher the problem gets, more fun you have.
- You have strong command in any one or more of the following languages: Python.
- You understand the business impact of your decisions.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
JavaJob Description
- Design & implement backend APIs
- Mentor junior developers technically.
- Actively work to reduce tech debt in the backend
- Work towards more stability & scalability of the backend
- Tech stack - Java, AWS etc.
Eligibility
- 2-8 years of product company experience
- Advanced understanding of AWS stack
- Prior knowledge of solving problems at scale.
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About the company
What is ‘searce’
Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.
The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.
What we do
Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.
- We are a category defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work
- We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes
- We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries
- Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services
- As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.
Who we are
We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do.
At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do.
We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us. And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients.
We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code.
Being HAPPIER.
How we work
- Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer.
- We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier.
- Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers.
- Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime.
So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’
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Techjays is The AI Reimagination Company — an enterprise AI partner founded by leaders with experience at Google. We don’t just experiment with AI; we build, deploy, and scale production-grade systems that solve real business problems.
Our focus is on industries where impact matters most — manufacturing, logistics, and complex enterprise operations. From intelligent automation to LLM-powered workflows, we design solutions that deliver measurable business outcomes in under 90 days.
With 20+ live AI systems already in production and over $100M in cost savings delivered, our work goes beyond proof of concept — it drives tangible value.
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Blitzy is a Boston, MA based Generative AI Start-up with an established office in Pune, India. We are on a mission to automate custom software creation to unlock the next industrial revolution. We're backed by multiple tier 1 investors, have success as founders at the last start-up, and dozens of Generative AI patents to our names.
Our Culture
Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.
Funding Journey
In September 2024, Blitzy secured $4.4M in seed funding from prominent investors including Link Ventures, Asymmetric Capital Partners, Flybridge, and four other strategic investors, demonstrating strong market confidence in their autonomous software development platform.
Our Values
- We move Blitzy Fast: Time is both our company's and our client's most precious asset. We move fast and fearlessly to innovate internally and deliver exceptional software externally to our clients.
- We have a Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- We have a Passion for Invention: We are inventors at heart. We value starting with best practices and open source, but we are pushing the frontier of what is possible.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships to deep, meaningful partnerships.
What We Ask of Candidates
Please ask yourself if you are ready for a challenge before applying. Even in optimal conditions, Start-Ups are hard, and are always a lot of work. What you do week to week will change. If this feels exciting, not concerning, that's a good sign.
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